A rice-based traditional dietary pattern is associated with obesity in Korean adults.
Abstract
BACKGROUND
Dietary patterns are critical in the prevention of chronic disease. The relationship between specific dietary patterns and
obesity has not been evaluated in a Korean adult population.
OBJECTIVE
This study examined whether specific dietary patterns are associated with obesity using survey data of the largest, nationally
representative, general Korean population.
DESIGN
The cross-sectional study was comprised of 10,089 Korean adults (19 years or older) who participated in the second and third
Korean National Health and Nutrition Examination Surveys conducted in 2001 and 2005, respectively. Dietary data were assessed
by 24-hour recall method. Obesity was defined as body mass index (calculated as kg/m(2)) ≥25, which is the cutoff point for
adults in the Asian and Pacific regions.
RESULTS
Four dietary patterns were derived using factor analysis (white rice and kimchi pattern; high-fat, sweets, and coffee pattern;
meat and alcohol pattern; and grains, vegetables, and fish pattern). Each dietary pattern explained 8.6%, 6.7%, 5.7%, and
5.7% of the variation in food intake, respectively. The white rice and kimchi pattern (P for trend=0.0039) and the high-fat,
sweets, and coffee pattern (P for trend=0.0054) were positively associated with obesity after adjustments for age, sex, energy
intake, alcohol intake, smoking status, physical activity, and chronic diseases. No significant association was found among
the meat and alcohol pattern; the grains, vegetables, and fish pattern; and obesity.
CONCLUSIONS
Specific dietary patterns, which include the white rice and kimchi and high-fat, sweets, and coffee patterns, may be independently
associated with obesity in Korean adults.
Links
Authors
Institution
Department of Food and Nutrition, Daegu University, Gyeongsan, Gyeongbuk, South Korea.
Source
Journal of the Academy of Nutrition and Dietetics 112:2 2012 Feb pg 246-53MeSH
AdultAlcohol Drinking
Asian Continental Ancestry Group
Body Mass Index
Cross-Sectional Studies
Diet
Energy Intake
Female
Food Habits
Humans
Logistic Models
Male
Middle Aged
Motor Activity
Multivariate Analysis
Nutrition Surveys
Obesity
Oryza sativa
Republic of Korea
Smoking
Pub Type(s)
Journal ArticleResearch Support, Non-U.S. Gov't
Language
eng
PubMed ID
22732459
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